Intelligent insulin pump design

Autores
Cocha, Guillermo; Rapallini, José; Rodríguez, Omar; Amorena, Carlos; Mazzeo, Hugo; D’Attellis, Carlos
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Diabetes Mellitus is a disease produced by a lack of insulin. In human beings, if insulin is not given externally, glycemia cannot be regulated correctly. According to several studies, tight control of glycemia reduces the chances of developing the ulterior complications of this disease. Automation of insulin infusion is one of the best ways of glycemic control. It is a goal searched from the 70´s when a first device was developed, the Biostator, a PID based automatic insulin infusion apparatus. Nowadays, this device is called "artificial pancreas". It is compound by a glucose sensor, a control algorithm, and an insulin pump infusion. Till now, control algorithms only could control glycemia around a basal value. Therefore, meal ingestion requires a manually added insulin dose called bolus. Our group has developed several control algorithms that automatize the process completely without supplementary bolus requirements. They are based on differential geometric control techniques whose efficiency has been tested in a simulation environment. These techniques are based on feedback linearization and flatness based control. By these techniques, a nonlinear system becomes a linear and controllable one. In this work, a working prototype of insulin infusion pump is introduced to verify the efficacy of the control algorithms proposed.
Fil: Cocha, Guillermo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.
Fil: Rapallini, José. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.
Fil: Rodríguez, Omar. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.
Fil: Amorena, Carlos. Universidad de San Martín. Escuela de Ciencia y Tecnología; Argentina.
Fil: Mazzeo, Hugo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI. DISI; Argentina.
Fil: D’Attellis, Carlos. Universidad de San Martín. Escuela de Ciencia y Tecnología; Argentina.
Fil: Cocha, Guillermo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Electrotecnia. Grupo de Tratamiento de Señales en Sistemas Eléctricos TSSE; Argentina
Materia
Diabetes
Pump
Insulin
Nonlinear control
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2022-08-29T16:05:06Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/6919
Acceder
id RIAUTN_574aa46feb96a0bf3c38d28289343385
oai_identifier_str oai:ria.utn.edu.ar:20.500.12272/6919
network_acronym_str RIAUTN
repository_id_str a
network_name_str Repositorio Institucional Abierto (UTN)
spelling Intelligent insulin pump designCocha, GuillermoRapallini, JoséRodríguez, OmarAmorena, CarlosMazzeo, HugoD’Attellis, CarlosDiabetesPumpInsulinNonlinear controlDiabetes Mellitus is a disease produced by a lack of insulin. In human beings, if insulin is not given externally, glycemia cannot be regulated correctly. According to several studies, tight control of glycemia reduces the chances of developing the ulterior complications of this disease. Automation of insulin infusion is one of the best ways of glycemic control. It is a goal searched from the 70´s when a first device was developed, the Biostator, a PID based automatic insulin infusion apparatus. Nowadays, this device is called "artificial pancreas". It is compound by a glucose sensor, a control algorithm, and an insulin pump infusion. Till now, control algorithms only could control glycemia around a basal value. Therefore, meal ingestion requires a manually added insulin dose called bolus. Our group has developed several control algorithms that automatize the process completely without supplementary bolus requirements. They are based on differential geometric control techniques whose efficiency has been tested in a simulation environment. These techniques are based on feedback linearization and flatness based control. By these techniques, a nonlinear system becomes a linear and controllable one. In this work, a working prototype of insulin infusion pump is introduced to verify the efficacy of the control algorithms proposed.Fil: Cocha, Guillermo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.Fil: Rapallini, José. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.Fil: Rodríguez, Omar. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.Fil: Amorena, Carlos. Universidad de San Martín. Escuela de Ciencia y Tecnología; Argentina.Fil: Mazzeo, Hugo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI. DISI; Argentina.Fil: D’Attellis, Carlos. Universidad de San Martín. Escuela de Ciencia y Tecnología; Argentina.Fil: Cocha, Guillermo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Electrotecnia. Grupo de Tratamiento de Señales en Sistemas Eléctricos TSSE; ArgentinaIEEE2022-08-29T16:05:06Z2022-08-29T16:05:06Z2018info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciapdfapplication/pdfCongreso Argentino de Ciencias de la Informática y Desarrollos de Investigación (CACIDI 2018)978-1-5386-5447-7http://hdl.handle.net/20.500.12272/6919enginfo:eu-repo/semantics/openAccess2022-08-29T16:05:06Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalAtribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).2018reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:47:23Zoai:ria.utn.edu.ar:20.500.12272/6919instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:25.225Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Intelligent insulin pump design
title Intelligent insulin pump design
spellingShingle Intelligent insulin pump design
Cocha, Guillermo
Diabetes
Pump
Insulin
Nonlinear control
title_short Intelligent insulin pump design
title_full Intelligent insulin pump design
title_fullStr Intelligent insulin pump design
title_full_unstemmed Intelligent insulin pump design
title_sort Intelligent insulin pump design
dc.creator.none.fl_str_mv Cocha, Guillermo
Rapallini, José
Rodríguez, Omar
Amorena, Carlos
Mazzeo, Hugo
D’Attellis, Carlos
author Cocha, Guillermo
author_facet Cocha, Guillermo
Rapallini, José
Rodríguez, Omar
Amorena, Carlos
Mazzeo, Hugo
D’Attellis, Carlos
author_role author
author2 Rapallini, José
Rodríguez, Omar
Amorena, Carlos
Mazzeo, Hugo
D’Attellis, Carlos
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv IEEE
dc.subject.none.fl_str_mv Diabetes
Pump
Insulin
Nonlinear control
topic Diabetes
Pump
Insulin
Nonlinear control
dc.description.none.fl_txt_mv Diabetes Mellitus is a disease produced by a lack of insulin. In human beings, if insulin is not given externally, glycemia cannot be regulated correctly. According to several studies, tight control of glycemia reduces the chances of developing the ulterior complications of this disease. Automation of insulin infusion is one of the best ways of glycemic control. It is a goal searched from the 70´s when a first device was developed, the Biostator, a PID based automatic insulin infusion apparatus. Nowadays, this device is called "artificial pancreas". It is compound by a glucose sensor, a control algorithm, and an insulin pump infusion. Till now, control algorithms only could control glycemia around a basal value. Therefore, meal ingestion requires a manually added insulin dose called bolus. Our group has developed several control algorithms that automatize the process completely without supplementary bolus requirements. They are based on differential geometric control techniques whose efficiency has been tested in a simulation environment. These techniques are based on feedback linearization and flatness based control. By these techniques, a nonlinear system becomes a linear and controllable one. In this work, a working prototype of insulin infusion pump is introduced to verify the efficacy of the control algorithms proposed.
Fil: Cocha, Guillermo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.
Fil: Rapallini, José. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.
Fil: Rodríguez, Omar. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI; Argentina.
Fil: Amorena, Carlos. Universidad de San Martín. Escuela de Ciencia y Tecnología; Argentina.
Fil: Mazzeo, Hugo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Ingeniería en Sistemas de Información. CODAPLI. DISI; Argentina.
Fil: D’Attellis, Carlos. Universidad de San Martín. Escuela de Ciencia y Tecnología; Argentina.
Fil: Cocha, Guillermo. Universidad Tecnológica Nacional. Facultad Regional La Plata. Departamento de Electrotecnia. Grupo de Tratamiento de Señales en Sistemas Eléctricos TSSE; Argentina
description Diabetes Mellitus is a disease produced by a lack of insulin. In human beings, if insulin is not given externally, glycemia cannot be regulated correctly. According to several studies, tight control of glycemia reduces the chances of developing the ulterior complications of this disease. Automation of insulin infusion is one of the best ways of glycemic control. It is a goal searched from the 70´s when a first device was developed, the Biostator, a PID based automatic insulin infusion apparatus. Nowadays, this device is called "artificial pancreas". It is compound by a glucose sensor, a control algorithm, and an insulin pump infusion. Till now, control algorithms only could control glycemia around a basal value. Therefore, meal ingestion requires a manually added insulin dose called bolus. Our group has developed several control algorithms that automatize the process completely without supplementary bolus requirements. They are based on differential geometric control techniques whose efficiency has been tested in a simulation environment. These techniques are based on feedback linearization and flatness based control. By these techniques, a nonlinear system becomes a linear and controllable one. In this work, a working prototype of insulin infusion pump is introduced to verify the efficacy of the control algorithms proposed.
publishDate 2018
dc.date.none.fl_str_mv 2018
2022-08-29T16:05:06Z
2022-08-29T16:05:06Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv Congreso Argentino de Ciencias de la Informática y Desarrollos de Investigación (CACIDI 2018)
978-1-5386-5447-7
http://hdl.handle.net/20.500.12272/6919
identifier_str_mv Congreso Argentino de Ciencias de la Informática y Desarrollos de Investigación (CACIDI 2018)
978-1-5386-5447-7
url http://hdl.handle.net/20.500.12272/6919
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2022-08-29T16:05:06Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).
2018
eu_rights_str_mv openAccess
rights_invalid_str_mv 2022-08-29T16:05:06Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Atribución (Attribution): En cualquier explotación de la obra autorizada por la licencia será necesario reconocer la autoría (obligatoria en todos los casos). No comercial (Non Commercial): La explotación de la obra queda limitada a usos no comerciales. Sin obras derivadas (No Derivate Works): La autorización para explotar la obra no incluye la posibilidad de crear una obra derivada (traducciones, adaptaciones, etc.).
2018
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
_version_ 1877230936813207552
score 13.265058

Publicaciones similares